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dc.contributor.authorSekhavat, Pooya
dc.contributor.authorRoss, I. Michael
dc.contributor.authorGong, Qi
dc.dateJuly 11-13, 2007
dc.date.accessioned2013-03-07T21:43:10Z
dc.date.available2013-03-07T21:43:10Z
dc.date.issued2007-07-11
dc.identifier.urihttp://hdl.handle.net/10945/29662
dc.descriptionThe article of record as published may be located at http://ieeexplore.ieee.orgen_US
dc.descriptionApproved for public display, distribution unlimiteden_US
dc.descriptionProceedings of the 2007 American Control Conference Marriott Marquis Hotel at Times Square New York City, USA, July 11-13, 2007en_US
dc.description.abstractNPSAT1 is a small satellite being built at the Naval Postgraduate School and scheduled to launch in 2007. It primarily employs magnetic sensing and actuation for attitude control. The nature of the in-house fabrication and assembly of the spacecraft requires reliable computational estimation of the difficult-to-measure parameters of the end-product. The inherent nonlinear dynamics of the system makes the observer design a challenging problem. This paper presents the successful implementation of the Unscented Kalman Filter (UKF) for the spacecraft parameter estimation. Since a three-axis magnetometer is the only sensor onboard, the UKF algorithm also estimates the system orientation and angular velocity. The unit quaternion constraint is enforced by treating the norm of the quaternion's as a dummy measurement. Simulations and ground test experimental results show the superior performance of the UKF in spacecraft dual state-parameter estimation.en_US
dc.publisherIEEEen_US
dc.relation.ispartofProceedings of the 2007 American Control Conference Marriott Marquis Hotel at Times Square New York City, USA, July 11-13, 2007
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.titleNPSAT1 Parameter Estimation Using Unscented Kalman Filteringen_US
dc.typeConference Paperen_US
dc.contributor.corporateOptimal Guidance and Control Laboratory
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.contributor.corporateIEEE
dc.contributor.departmentMechanical & Astronautical Engineering
dc.subject.authorKalman Filteringen_US
dc.subject.authorsatelliteen_US
dc.subject.authorthree-axismagnetometeren_US
dc.subject.authorsensoren_US
dc.description.funderNAen_US


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